Triple
T4688975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rada |
E103988
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
VRU
VRU is the commonly used Ukrainian abbreviation for the Verkhovna Rada, the unicameral parliament and supreme legislative body of Ukraine.
|
E462909
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: VRU | Statement: [Rada, abbreviation, VRU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VRU Context triple: [Rada, abbreviation, VRU]
-
A.
VRN
VRN is the public transport association serving Germany’s Rhine-Neckar metropolitan region, coordinating regional and local transit services across multiple states.
-
B.
VMU
The VMU (Visual Memory Unit) is a memory card and secondary screen accessory for the Sega Dreamcast that provides game save storage and mini-game functionality.
-
C.
VU
VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
-
D.
VIR
VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
-
E.
VR Group
VR Group is Finland’s state-owned railway company that operates domestic and international passenger and freight train services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VRU Triple: [Rada, abbreviation, VRU]
Generated description
VRU is the commonly used Ukrainian abbreviation for the Verkhovna Rada, the unicameral parliament and supreme legislative body of Ukraine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VRU Target entity description: VRU is the commonly used Ukrainian abbreviation for the Verkhovna Rada, the unicameral parliament and supreme legislative body of Ukraine.
-
A.
VRN
VRN is the public transport association serving Germany’s Rhine-Neckar metropolitan region, coordinating regional and local transit services across multiple states.
-
B.
VMU
The VMU (Visual Memory Unit) is a memory card and secondary screen accessory for the Sega Dreamcast that provides game save storage and mini-game functionality.
-
C.
VU
VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
-
D.
VIR
VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
-
E.
VR Group
VR Group is Finland’s state-owned railway company that operates domestic and international passenger and freight train services.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6399621881909aa8ffb1c27284e9 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ba56f88190bc9f6da051b5052f |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be077d06988190b3b20b48e4017abb |
completed | March 21, 2026, 2:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be084a59e88190b1e0342a529b7b8f |
completed | March 21, 2026, 2:54 a.m. |
Created at: March 20, 2026, 1:16 p.m.